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Vectorizing string entries for data processing on tables: when are larger language models better?2023
Pré-publication, Document de travail
hal-04345931v1
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Interferometric Graph Transform for Community Labeling2021
Pré-publication, Document de travail
hal-03247781v1
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Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning2021
Pré-publication, Document de travail
hal-03247753v1
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Nonlinear Acceleration of Deep Neural Networks2018
Pré-publication, Document de travail
hal-01799269v1
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Guiding The Last Layer in Federated Learning with Pre-Trained ModelsNeurips, inPress
Article dans une revue
hal-04262471v1
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Gradient Masked Averaging for Federated LearningTransactions on Machine Learning Research Journal, 2022
Article dans une revue
hal-04262447v1
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Kymatio: Scattering Transforms in PythonJournal of Machine Learning Research, 2020, 21 (60), pp.1-6
Article dans une revue
hal-02945354v1
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Scattering Networks for Hybrid Representation LearningIEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, pp.11. ⟨10.1109/TPAMI.2018.2855738⟩
Article dans une revue
hal-01837587v1
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An Analysis of the SURF MethodImage Processing On Line, 2015, 5, pp.176 - 218. ⟨10.5201/ipol.2015.69⟩
Article dans une revue
hal-01657161v1
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Preventing Dimensional Collapse in Contrastive Local Learning with SubsamplingICML 2023 Workshop on Localized Learning (LLW), Jul 2023, Honolulu (Hawaii), USA, United States
Communication dans un congrès
hal-04156218v1
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DADAO: Decoupled Accelerated Decentralized Asynchronous OptimizationInternational Conference on Machine Learning, Jul 2023, Honolulu, United States
Communication dans un congrès
hal-03737694v3
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$\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep LearningThirty-seventh Conference on Neural Information Processing Systems, Dec 2023, New Orleans, United States
Communication dans un congrès
hal-04124318v2
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Can Forward Gradient Match Backpropagation?Fortieth International Conference on Machine Learning, Jul 2023, Honolulu (Hawaii), USA, United States
Communication dans un congrès
hal-04119829v1
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Why do tree-based models still outperform deep learning on typical tabular data?36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, Nov 2022, New Orleans, United States
Communication dans un congrès
hal-03723551v3
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On Non-Linear operators for Geometric Deep LearningConference on Neural Information Processing Systems (Neurips), Dec 2022, New Orleans, United States. ⟨10.48550/arXiv.2207.03485⟩
Communication dans un congrès
hal-03711864v2
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Low-Rank Projections of GCNs LaplacianICLR 2021 Workshop GTRL, May 2021, Online, France
Communication dans un congrès
hal-03248056v1
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Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia AssessmentMachine Learning in Medical Imaging @MICCAI, Sep 2021, Strasbourg, France. pp.317-326, ⟨10.1007/978-3-030-87589-3_33⟩
Communication dans un congrès
hal-03532954v1
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The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels MethodsInternational Conference on Learning Representation (ICLR 2021), 2021, Vienna (online), Austria
Communication dans un congrès
hal-03114389v1
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Interferometric Graph Transform: a Deep Unsupervised Graph Representation37th International Conference on Machine Learning (ICML 2020), Jul 2020, Online, Austria
Communication dans un congrès
hal-02862516v1
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Decoupled Greedy Learning of CNNsInternational Conference on Machine Learning, Jul 2020, Vienna (virtual), Austria. pp.5368-5377
Communication dans un congrès
hal-02945327v1
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On Lazy Training in Differentiable ProgrammingNeurIPS 2019 - 33rd Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. pp.2937-2947
Communication dans un congrès
hal-01945578v6
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Greedy Layerwise Learning Can Scale to ImageNetICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, CA, United States
Communication dans un congrès
hal-02119398v1
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i-RevNet: Deep Invertible NetworksICLR 2018 - International Conference on Learning Representations, Apr 2018, Vancouver, Canada
Communication dans un congrès
hal-01712808v1
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Compressing the Input for CNNs with the First-Order Scattering TransformECCV 2018 - European Conference on Computer Vision, Sep 2018, Munich, Germany
Communication dans un congrès
hal-01850921v1
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Nonlinear Acceleration of CNNsICLR Workshop track, Apr 2018, Vancouver, Canada
Communication dans un congrès
hal-01805251v3
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Scaling the Scattering Transform: Deep Hybrid NetworksInternational Conference on Computer Vision (ICCV), Oct 2017, Venice, Italy
Communication dans un congrès
hal-01495734v2
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Contributions to Local, Asynchronous and Decentralized Learning, and to Geometric Deep LearningArtificial Intelligence [cs.AI]. Sorbonne Université, 2023
HDR
tel-04334118v1
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Analyzing and introducing structures in deep convolutional neural networksComputer Vision and Pattern Recognition [cs.CV]. Université Paris sciences et lettres, 2017. English. ⟨NNT : 2017PSLEE060⟩
Thèse
tel-03917151v2
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